Der, R, Hesse, F, Liebscher, R, and Herrmann, J (submitted). Contingent robot behavior generated by self-referential dynamical systems. Biol Cybernetics:,.
Der, R, Martius, G, and Herrmann, J (submitted). Homeokinesis and the moderation of complexity in neural systems. Physical Review E:,.
Schrobsdorff, H, Herrmann, JM, and Geisel, T (2007). A feature-binding model with localized excitations Neurocomputing 70(10-20):1706-1710 .
Schrobsdorff, H, Ihrke, M, Kabisch, B, Behrendt, J, Hasselhorn, M, and Herrmann, JM (2007). A Computational Approach to Negative Priming. Connection Science 19(3):203 - 221. download file
Der, R, Hesse, F, and Martius, G (2006). Rocking stamper and jumping snake from a dynamical system approach to artificial life. Adaptive Behavior 14:105-115,.
Der, R, Hesse, F, and Martius, G (2006). Learning to feel the physics of a body. In: Proc. Int. Conf. Computational Intelligence for Modelling, Control and Automation, Vol. 2 (CIMCA-IAWTIC'06), IEEE Computer Society 00:252-257,.
Der, R, Martius, G, and Hesse, F (2006). Let it roll - emerging sensorimotor coordination in a spherical robot. In L. M. Rocha et al. (eds) Artificial Life X: Proc. 10th Int. Conf. Simulation and Synthesis of Living Systems:192-198,.
Hass, J, Herrmann, J, and Geisel, T (2006). Optimal mass distribution for passivity-based bipedal robots. International Journal of Robotics Research 25:1087-1098,.
Levina, A, Herrmann, J, and Geisel, T (2006). Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches. Adv. in Neural Information Processing 00:00,.
Voultsidou, M, Dodel, S, and Herrmann, J (2005). Neural networks approach to clustering of activity in fMRI data. IEEE Trans Med Imaging 00:00,.